Not exact matches
The point at which a trend becomes clear within the average temperature data for a given region — known as the «time of emergence» — depends on when the source of the
warming begins, how fast it happens and the amount of
background «noise» obscuring the
signal.
«This
signal of
warming emerged above the noise of
background variability during the 20th century for most parts of the globe.
The hockey stick provides compelling evidence for the emergence of a human - caused
warming signal from the
background noise of natural fluctuations in climate.
While many studies of the effects of global
warming on hurricanes predict an increase in various metrics of Atlantic basin - wide activity, it is less clear that this
signal will emerge from
background noise in measures of hurricane damage, which depend largely on rare, high - intensity landfalling events and are thus highly volatile compared to basin - wide storm metrics.
«The interdependence of continental
warm cloud properties derived from unexploited solar
background signals in ground - based lidar measurements.»
Against such a noisy
background, it is hard to detect the
signal from any changes caused by humanity's increased economic activity, and consequent release of atmosphere -
warming greenhouse gases such as carbon dioxide.
There are, however, caveats: (1) multidecadal fluctuations in Arctic — subarctic climate and sea ice appear most pronounced in the Atlantic sector, such that the pan-Arctic
signal may be substantially smaller [e.g., Polyakov et al., 2003; Mahajan et al., 2011]; (2) the sea - ice records synthesized here represent primarily the cold season (winter — spring), whereas the satellite record clearly shows losses primarily in summer, suggesting that other processes and feedback are important; (3) observations show that while recent sea - ice losses in winter are most pronounced in the Greenland and Barents Seas, the largest reductions in summer are remote from the Atlantic, e.g., Beaufort, Chukchi, and Siberian seas (National Snow and Ice Data Center, 2012, http://nsidc.org/Arcticseaicenews/); and (4) the recent reductions in sea ice should not be considered merely the latest in a sequence of AMOrelated multidecadal fluctuations but rather the first one to be superposed upon an anthropogenic GHG
warming background signal that is emerging strongly in the Arctic [Kaufmann et al., 2009; Serreze et al., 2009].
Raising the costs of 7.5 billion people's food, energy and fuel in order to maybe slow down
warming by less than.1 C / decade seems like a very risky thing to do to me, and I want to see 60 to 120 years more data to really tease out the human
signal from the
background natural variability
signal.
Or does the
background trend in Figure 3 represent the global
warming «forced»
signal of an ever - increasing sea ice loss, plus natural variability (Bitz)?
When a PIR sensor detects sufficient movement of these
warm «objects» and / or a significant temperature differential between the object and the
background scene, it
signals the camera to start recording and send an alert to the user.